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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. In 2020, BI tools and strategies will become increasingly customized.

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Optimizing Business Performance with Dynamics 365 and BI Dashboards: The Missing Link Between Data and Decisions

BizAcuity

This is precisely why Microsoft Dynamics 365 integration with BI dashboards has become a game-changer. But when BI dashboards are seamlessly linked, organizations can: Monitor business health in real-time : When BI dashboards are fully integrated, businesses can move beyond relying on outdated, end-of-month reports. Whats Next?

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Top 10 Analytics And Business Intelligence Buzzwords For 2020

datapine

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Prescriptive Analytics: What should we do? Cognitive Computing.

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Five Steps for Building a Successful BI Strategy

Sisense

Every business needs a business intelligence strategy to take it forward. . As the Global Team Lead of BI Consultants at Sisense, I can say that the projects I’ve worked on where a BI strategy was involved, were more successful than projects without a strategy. But what is a BI strategy in today’s world?

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Prescriptive Analytics. In the future of business intelligence, it will also be more common to break data-based forecasts into actionable steps to achieve the best strategy of business development. This shows why self-service BI is on the rise. Using the information in making business predictions is not a new trend. SAP Lumira.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

Low-latency data access and delivery (system requirement) is necessary for delivery of low-latency analytics products (business user requirement). Along with the massive growth in sensor data (including location-based and time-based streaming data), there have emerged some special analytics categories that are growing in significance.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.